An FPGA-based Parallel Architecture for Face Detection using Mixed Color Models

📝 Original Info

• Title: An FPGA-based Parallel Architecture for Face Detection using Mixed Color Models
• ArXiv ID: 1405.7032
• Date: 2014-05-28
• Authors: Researchers from original ArXiv paper

📝 Abstract

In this paper, a reliable method for detecting human faces in color images is proposed. This system firstly detects skin color in YCgCr and YIQ color space, then filters binary texture and the result is morphological processed, finally converts skin tone to the preferred skin color configured by users in YIQ color space. The real-time adjusting circuit is implemented and some of simulation results are given out. Experimental results demonstrate that the method has achieved high rates and low false positives, another advantage is its simplicity and minor computational costs.

💡 Deep Analysis

Deep Dive into An FPGA-based Parallel Architecture for Face Detection using Mixed Color Models.

In this paper, a reliable method for detecting human faces in color images is proposed. This system firstly detects skin color in YCgCr and YIQ color space, then filters binary texture and the result is morphological processed, finally converts skin tone to the preferred skin color configured by users in YIQ color space. The real-time adjusting circuit is implemented and some of simulation results are given out. Experimental results demonstrate that the method has achieved high rates and low false positives, another advantage is its simplicity and minor computational costs.

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Reference